DocumentCode :
1894866
Title :
The method for soil moisture inversion based on ground-based scattering measurement
Author :
Qiu, Chengqiang ; Chen, Yan ; Tong, Ling ; Jia, Mingquan ; Pang, Shaofeng
Author_Institution :
Sch. of Autom. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear :
2011
fDate :
24-29 July 2011
Firstpage :
3086
Lastpage :
3088
Abstract :
With the ENVISAT-ASAR Alternating Polarisation mode and the parameter sets of HJ-IC-SAR as the research foundation, using the measurement data by multi-wave bands and multi-polarization ground-based scatterometer, the paper studies an inversion method of bare-surface soil moisture. The studies simultaneously consider the influence which include root-mean-square height S and correlation length L in this method, and combine the two roughness parameters, expressed as a combination of roughness Zs. Using Integral Equation Model (IEM) to analysis the relationship between Zs in different incident angles and the difference of the backscattering coefficients under two wavelengths, establishes the multinomial semi-empirical model for soil moisture inversion under different angles. The model´s validation is conformed by the ground-based scattering datas, the results show that, for the medium and low roughness of the bare surface, the error is smaller than 15 percent between inversion value with the model and the measured soil moisture.
Keywords :
moisture measurement; remote sensing by radar; soil; synthetic aperture radar; ENVISAT ASAR Alternating Polarisation mode; HJ-IC-SAR parameter; Integral Equation Model; backscattering coefficient; correlation length; ground based scattering measurement; multinomial semiempirical model; roughness parameter; soil moisture inversion; Backscatter; Data models; Mathematical model; Moisture measurement; Soil measurements; Soil moisture; Surface roughness; combination roughness; inversion; multi-band; soil moisture; synthetic aperture radar;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
Conference_Location :
Vancouver, BC
ISSN :
2153-6996
Print_ISBN :
978-1-4577-1003-2
Type :
conf
DOI :
10.1109/IGARSS.2011.6049870
Filename :
6049870
Link To Document :
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